METHODS OF ARTIFICIAL INTELLIGENCE-FUZZY LOGIC (CROSBI ID 49501)
Prilog u knjizi | ostalo
Podaci o odgovornosti
Bonato, Jasminka
engleski
METHODS OF ARTIFICIAL INTELLIGENCE-FUZZY LOGIC
Methods of artificial management represent a new approach to problem management in numerous applications in technical systems. The aim of paper is to demonstrate the application of fuzzy logic in the process of management and control of technical systems (Zimmermann, 2001). Program tool "Fuzzy Logic Toolbox" is used in this work. Its functions are called within software package Matlab. Fuzzy logic at the controlled engine speed is applied, input and output variables are selected, fuzzy sets are specified, and their shape is defined through membership function. The value that reflects the linguistic meaning of each fuzzy set is defined. Results enable the value estimation of the output parameters. This leads to the solution of the identified problem, with the help of base of fuzzy rules for observed characteristics which are stored within the model. If the number of input and output variables increases, this influences inference mechanism and solution reliability, through the use of artificial intelligence methods (expert systems, neural network, fuzzy logic, fuzzy, genetic algorithm).
Fuzzy logic, Fuzzy Inference System, expert systems, Matlab
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Podaci o prilogu
849-856.
objavljeno
Podaci o knjizi
DAAAM INTERNATIONAL SCIENTIFIC BOOK 2013
Katalinić, Branko& Tekić, Željko
Beč: DAAAM International Vienna
2013.
978-3-901509-94-0